Malakoff Humanis

Having pushed their data catalog tool to its limits, Malakoff Humanis was looking for a tool that would be ergonomic for all its business teams with an easy-to-use data lineage function. The initial problems with their old catalog were:

• The search tool didn’t work
• The data catalog was too complex to use, which prevented adoption within the different teams
• The functionalities were too basic for their use cases, such as easy searching for data and mapping the data in their data lake

They wanted to embark on an end-to-end data strategy, aligning sales and IT teams. So they were looking for a more user-friendly, easy-to-use tool for mapping the data in their data lake (AWS).

The company used an agile approach that involved their internal data, IT, and business teams to implement their Data Knowledge Catalog in several stages.

In the first phase :

• Identification of key projects – Update of the data lake, the Solvency 2 process, and transversal governance
• Definition of the priority functionalities to be implemented for each project
• Integration of existing information, including glossaries and usages, with a reduced loading and input process

Once these initial steps had been completed, they became more autonomous and continued their approach to:

• Completely connect the data and IT teams
• Add high-value use cases, particularly for personal data and APIs
• Structure data governance uses and processes
• Involve their community every step of the way

Malakoff Humanis’ teams continue to operate in an agile project mode, with an in-house team who have become experts using DataGalaxy. To encourage further adoption of the tool, they regularly promote DataGalaxy’s features and use cases to their community of over 300 employees by sharing simple infographics and feedback on their DataGalaxy experience.